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2026-06-11

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addyosmani/agent-skills

Shell · ★ 51,705 · 🍴 5,698 · 📈 781 stars today

Production-grade engineering skills for AI coding agents.

中文介绍 为AI编码代理提供生产级工程技能库,包含提示、工具和方法论,帮助开发者将AI集成到真实代码工作流中,提升代码生成质量和可靠性。

phuryn/pm-skills

★ 14,809 · 🍴 1,617 · 📈 775 stars today

PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.

中文介绍 面向AI代理的产品管理技能市场,提供从发现、战略、执行到发布增长的100多种技能和插件,帮助产品经理自动化工作流。

refactoringhq/tolaria

TypeScript · ★ 14,886 · 🍴 1,027 · 📈 618 stars today

Desktop app to manage markdown knowledge bases

中文介绍 Tolaria 是一款桌面应用,用于管理 Markdown 知识库,支持笔记组织和检索,适合个人知识管理和写作场景,基于本地存储保证数据隐私。

mvanhorn/last30days-skill

Python · ★ 39,039 · 🍴 3,152 · 📈 2,561 stars today

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

中文介绍 AI代理技能,自动在Reddit、X、YouTube、Hacker News、Polymarket等平台研究任意主题,综合生成基于事实的摘要,适用于舆情分析、趋势追踪。

soxoj/maigret

Python · ★ 31,990 · 🍴 2,339 · 📈 261 stars today

🕵️‍♂️ Collect a dossier on a person by username from 3000+ sites

中文介绍 开源情报收集工具,通过用户名在3000多个网站中搜索并汇总个人公开信息,适用于安全研究、社工调查和数字足迹分析。

x1xhlol/system-prompts-and-models-of-ai-tools

★ 139,502 · 🍴 34,590 · 📈 397 stars today

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts

中文介绍 收录了Augment Code、Claude Code、Cursor等20多种AI工具的完整系统提示和模型配置,为开发者直接复用或参考,提升AI工具使用效率。

obra/superpowers

Shell · ★ 223,571 · 🍴 19,874 · 📈 1,205 stars today

An agentic skills framework & software development methodology that works.

中文介绍 一种实用的代理技能框架与软件开发方法论,提供技能定义、组合和执行机制,帮助团队构建可靠AI代理驱动的开发流程。

masterking32/MasterDnsVPN

Go · ★ 5,193 · 🍴 501 · 📈 351 stars today

Advanced DNS tunneling VPN for censorship bypass, optimized beyond DNSTT and SlipStream with low-overhead ARQ, resolver load balancing, high packet-loss stability and speed.

中文介绍 基于DNS隧道的VPN工具,针对审查绕过优化,采用低开销自动重传请求、解析器负载均衡等技术,在丢包环境下保持高速稳定连接,超越传统DNSTT和SlipStream。

harry0703/MoneyPrinterTurbo

Python · ★ 84,984 · 🍴 12,134 · 📈 1,471 stars today

利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.

中文介绍 基于AI大模型的一键短视频生成工具,自动撰写脚本、配音和合成高清视频,适合自媒体创作者快速产出内容,支持定制化参数。

maziyarpanahi/openmed

Python · ★ 2,275 · 🍴 243 · 📈 535 stars today

open-source healthcare ai

中文介绍 开放源代码的医疗健康AI项目,提供模型、数据或工具,旨在推动AI在诊断、病历分析等场景的应用,适合医疗研究人员和开发者。

luongnv89/claude-howto

Python · ★ 36,515 · 🍴 4,411 · 📈 204 stars today

A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.

中文介绍 Claude Code 的图文教程,从基础概念到高级代理用法,附带可直接复制的模板,帮助开发者快速上手并提升AI编码效率。

activeloopai/hivemind

TypeScript · ★ 819 · 🍴 49 · 📈 47 stars today

One brain for all your agents

中文介绍 为多个AI代理提供统一记忆与协调系统,类似群体智能中枢,让代理共享知识、协同工作,适用于多代理场景如自动化流水线。

ruvnet/RuView

Rust · ★ 72,885 · 🍴 9,727 · 📈 439 stars today

π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.

中文介绍 利用普通WiFi信号实现实时空间感知、生命体征监测和存在检测,无需摄像头或传感器,适用于智能家居、隐私保护场景。

roboflow/supervision

Python · ★ 43,553 · 🍴 3,867 · 📈 699 stars today

We write your reusable computer vision tools. 💜

中文介绍 计算机视觉工具库,提供标注、推理、可视化等可复用组件,简化YOLO、SAM等模型的部署流程,适用于目标检测、图像分割等任务的快速开发。

google/skills

Python · ★ 13,270 · 🍴 1,007 · 📈 238 stars today

Agent Skills for Google products and technologies

中文介绍 谷歌发布的官方代理技能集合,用于连接AI代理与谷歌产品(如Gmail、Calendar等),实现自动化操作,适用于构建基于Google生态的AI助手。

FareedKhan-dev/train-llm-from-scratch

Python · ★ 5,237 · 🍴 707 · 📈 241 stars today

A straightforward method for training your LLM, from downloading data to generating text.

中文介绍 提供从头训练大语言模型的简易流程,涵盖数据采集、预处理、训练和生成,适合希望理解LLM底层机制的研究者和开发者。

apple/container

Swift · ★ 29,712 · 🍴 829 · 📈 1,358 stars today

A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.

中文介绍 苹果官方开源的Linux容器管理工具,基于轻量级虚拟机在Mac上运行容器,使用Swift编写并针对Apple Silicon优化,为开发者提供高性能本地测试环境。

Kwai Keye-VL-2.0 Technical Report

👍 167

We introduce Kwai Keye-VL-2.0-30B-A3B, an open-source Mixture-of-Experts (MoE) multimodal foundation model designed to advance long-video understanding and agentic intelligence. To address the challenges of ultra-long contexts, information redundancy, and prohibitive computational costs inherent in

中文介绍 Kwai Keye-VL-2.0-30B-A3B 开源 MoE 多模态基座模型,专攻长视频理解与智能体智能。通过稀疏激活架构应对超长上下文、信息冗余和高计算成本,推进视频级具身智能能力。

Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution

👍 73

Although Large Language Model (LLM) agents have demonstrated strong performance on complex tasks, their learning is often limited by inefficient interaction feedback and static training environments, which hinder broader generalization. To address these limitations, this paper introduces Role-Agent,

中文介绍 提出 Role-Agent,采用「双角色演化」机制提升 LLM 代理的泛化能力。通过内部角色与环境角色的协同进化,突破静态训练环境与低效交互反馈的限制,强化复杂任务学习。

Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts

👍 48

AI agents rely on a harness of skills, tools, and workflows to solve complex problems. Continually improving this harness is essential for adapting to new tasks. However, existing optimization methods typically require ground-truth validation sets, yet such labeled data is difficult to acquire in pr

中文介绍 提出 Retrospective Harness Optimization(RHO),无需人工标注验证集,利用智能体自身轨迹上的偏好信号优化工具链与工作流。通过自我偏好学习持续改进多步骤任务表现。

SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research

👍 44

Large language models are increasingly expected to handle complex, long-horizon real-world tasks whose context demands can grow without bound, yet model context windows remain inherently finite. Recent work explores a paradigm where a main agent decomposes tasks and dispatches subtasks to subagents,

中文介绍 SearchSwarm 提出委派智能(Delegation Intelligence),由主智能体分解长时任务并委派给子代理,突破上下文窗口限制,实现无界上下文深层次研究,提升长程任务处理能力。

Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning

👍 40

Reinforcement learning with verifiable rewards (RLVR) has become standard for improving LLM reasoning. However, existing PPO-style trust-region mechanisms remain position-agnostic by enforcing uniform thresholds across all tokens independently. This pointwise treatment conflicts with autoregressive

中文介绍 揭示 PPO 等 RLVR 方法对所有 token 施加统一信任区域的缺陷,与自回归生成矛盾。提出超越逐点信任的区域机制,差异化处理 token,提升 LLM 推理的 RL 训练稳定性与效果。

MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Hierarchical Graph Memory and Agentic Retrieval Mechanism

👍 35

Current Vision-Language Models struggle with hours-long videos because processing full-length visual sequences induces prohibitive token explosion and attention dilution. To overcome this, we introduce MemDreamer to decouple perception and reasoning, shifting long-video understanding into an agentic

中文介绍 MemDreamer 通过层次化图记忆与智能检索机制将感知与推理解耦,使 VLM 处理小时级长视频时避免 token 爆炸与注意力稀释。将长视频理解转化为智能体任务,提升效率与准确性。

WorldOlympiad: Can Your World Model Survive a Triathlon?

👍 27

We introduce WorldOlympiad, a benchmark for diagnosing video-based world models across physical faithfulness, geometric consistency, and interaction fidelity. While existing benchmarks often focus on visual quality, semantic alignment, or short-term temporal coherence, they provide limited insight i

中文介绍 WorldOlympiad 基准测试诊断视频世界模型在物理保真度、几何一致性与交互保真度三方面的能力。定位现有评估过于关注视觉质量而忽略物理与交互推理的不足。

Rethinking the Divergence Regularization in LLM RL

👍 26

Reinforcement learning (RL) has become a key component of post-training large language models (LLMs). In practice, LLM RL is often off-policy because of training-inference mismatch and policy staleness, making trust-region control essential for stable optimization. Mainstream methods such as PPO and

中文介绍 重新审视 LLM RL 中的散度正则化,指出现有 PPO/GRPO 的 off-policy 本质导致信任区域控制不稳。提出改进正则化设计,以缓解训练-推理不匹配与策略过时问题。

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

👍 16

In this paper, we propose EEVEE, the first multi-dataset test-time prompt learning framework for LLM agents, enabling test-time prompt learning under real-world task streams. Existing methods are largely designed for single-dataset settings, while real-world applications require models to handle het

中文介绍 EEVEE 首个面向真实世界任务流的测试时提示学习框架,使 LLM 代理能在多数据集异质流中在线自我改进。突破了单数据集设置,适应动态变化的输入分布。

Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional Fields

👍 14

Recent years have witnessed the rapid evolution of AI agents toward handling increasingly complex, real-world tasks. However, existing benchmarks rarely evaluate whether agents can operate graphical user interfaces to complete long-horizon, high-value professional workflows across diverse domains. C

中文介绍 Workflow-GYM 评估 GUI 智能体在真实专业工作流中的长程操作能力。涵盖多领域高价值流程,填补现有基准缺乏跨域长时 GUI 任务评测的空白。

One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA

👍 13

External memory effectively grounds large language models (LLMs) and vision-language models (VLMs)-based question answering (QA) in relevant multimodal evidence. However, existing memory paradigms represent each memory item in raw text and image forms, so retrieval-based systems must pass the retrie

中文介绍 提出潜伏记忆(Latent Memory)范式,将多模态证据压缩为单个 token 表示,替代传统检索需传递原始文本/图片的方式。极大降低资源受限场景下的存储与计算开销。

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It

👍 12

Chain-of-thought (CoT) supervised fine-tuning (SFT) is widely adopted to improve reasoning ability, yet we find that it systematically degrades long-context recall in hybrid linear-attention models. Across architectures including HypeNet and Jet-Nemotron, retrieval performance on Needle-In-A-Haystac

中文介绍 发现 CoT 微调系统性损害混合线性注意力模型(如 HypeNet、Jet-Nemotron)的长上下文召回能力。提出修复方案,恢复 Needle-In-A-Haystack 任务中的检索性能。

SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction

👍 9

Agent skills occupy a privileged position in the agent workflow, as agents are expected to implicitly follow and execute them, rendering third-party skills a vulnerable attack surface. Existing studies have revealed unsafe agent behaviors induced by skill-based attacks, but they primarily evaluate p

中文介绍 SkillHarm 提出生命周期感知的技能攻击自动构造方法,揭示第三方技能作为攻击面的脆弱性。相比现有工作,更全面评估从发布到执行的各阶段安全风险。

Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval

👍 9

Language agents increasingly rely on reusable skills to improve multi-step web automation across related tasks. A growing line of work studies online skill learning, where agents continually induce skills from previous task trajectories and reuse them in future tasks on the fly. However, existing me

中文介绍 提出状态接地的动态检索在线技能学习框架,使 Web 代理持续从历史轨迹归纳技能并实时复用。克服了已有方法在任务相关性检索上的局限,提升多步自动化效率。

BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling

👍 6

As deep learning models scale, managing, inspecting, and modifying large checkpoints has become increasingly challenging. Researchers often need to alter model weights for layer restructuring, precision casting, low-rank factorization, and architectural debugging, yet these workflows often rely on f

中文介绍 BrainSurgery 提供声明式权重操作接口,支持层重组、精度转换、低秩分解等模型编辑与升级(upcycling)。通过可重复、可靠的 API 降低大规模检查点修改复杂度。

How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs

👍 6

Token-level credit assignment remains a key obstacle for reinforcement learning (RL) in large language models (LLMs), where RL recipes typically treat all tokens equally, failing to distinguish decisive reasoning steps from routine formatting or fluent filler. Recent attempts leverage model-internal

中文介绍 追踪注意力诱导的信息流,识别 LLM 推理中的关键推理步骤 vs 格式填充 token。据此设计针对性 RL 方法,改善 token 级信用分配,提升训练效率与推理质量。

Bridging the Agent-World Gap: Text World Models for LLM-based Agents

👍 6

Large language model (LLM)-based agents are increasingly used in interactive textual environments, from web navigation and code editing to tool use and long-horizon dialogue. Yet many remain largely reactive, mapping observations to actions without an explicit model of how these environments are str

中文介绍 提出文本世界模型(Text World Model)弥合 LLM 代理与交互环境之间的鸿沟。让代理在内部模拟环境动态,而非单纯反应式映射,增强长程规划与决策能力。

PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models

👍 5

Large language models (LLMs) routinely face requests that should be refused, creating a trade-off between helpfulness and harm prevention. However, refusals themselves can be helpful. In high-risk interactions involving crisis, coercion, or escalating intent, blunt non-compliance may prevent direct

中文介绍 PsychoSafe 通过心理学启发的拒绝生成策略,在高风险交互中(如危机、胁迫)提供更具建设性的拒绝方式。平衡有用性与安全性,而非简单粗暴的不合规拒绝。

Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking

👍 5

Deep research agents have attracted increasing attention for their ability to collect large-scale online information to acquire target knowledge, with recent efforts shifting from purely text-based information seeking to multimodal settings. However, existing agentic workflows are largely aligned wi

中文介绍 Struct-Searcher 引入结构化思维(structural thinking)驱动多模态深层信息搜索。改进现有纯文本智能体工作流,自动探索并整合图像、表格等多模态证据以完成复杂调研。

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems

👍 4

Multi-agent systems (MAS) built on large language models are typically organized around roles, pipelines, and turn schedules, while the content that agents pass to one another is often left as unconstrained natural language. However, this free-form communication can rapidly inflate token usage, cons

中文介绍 提出动作-状态通信(Action-state Communication)范式,规范 LLM 多智能体间传递内容,避免自由文本通信导致的 token 膨胀。降低推理成本,同时维持系统有效性。

Loops: What Every AI Engineer Needs to Know in 2026

@sairahul1 · 113.0K 粉丝 · 852.6K 阅 · 600 赞 · 79 转

Peter Steinberger, creator of OpenClaw, who now works with OpenAI. Yesterday he posted this: "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents."

中文介绍 Peter Steinberger(OpenClaw 创始人、现 OpenAI)提出 2026 年 AI 工程师应转向设计循环来驱动编码 agent,而非手动提示。核心:从 prompter 变为 loop designer。

The Untrainable

@saranormous · 143.5K 粉丝 · 194.8K 阅 · 614 赞 · 40 转

The mid-2026 investor's version of AI psychosis is a despair that nothing is investable, that we should put all our money into Anthropic and Nvidia and go home. I have never felt it. I have been sure

中文介绍 作者反驳 2026 年中期投资者「无物可投、All in Anthropic 和 Nvidia」的绝望论调,自己从未动摇。分享对 AI 投资格局的信心与判断。

My Week with Fable

@MatthewBerman · 121.3K 粉丝 · 108.0K 阅 · 661 赞 · 26 转

tl;dr I've been testing Fable (Mythos) for the past week and it feels unlike any other model I've used. It feels, and is priced, like a next-generation model. It also has some real quirks. The Good

中文介绍 Matthew Berman 测试 Fable(Mythos 类模型)一周:感觉像下一代模型,定价也高,但有明显 quirks。列出优缺点,评价其独特性和实用价值。

Kimi to Predict All 104 World Cup Matches: Germany May Be Underestimated

@Kimi_Moonshot · 172.7K 粉丝 · 106.6K 阅 · 500 赞 · 61 转

Our predictions will probably be wrong. But the World Cup offers a rare, public, verifiable, and constantly evolving real-world setting. Through this initiative, we hope to place analysis,

中文介绍 Kimi 宣布预测全部 104 场世界杯比赛,坦诚预测可能错误,但借助这一公开、可验证的真实场景,旨在检验分析能力并推动透明 AI。

Loop engineering: the 14-step roadmap from prompter to loop designer.

@0xCodez · 5.3K 粉丝 · 97.8K 阅 · 510 赞 · 80 转

Most developers still prompt their coding agents by hand. They type, they wait, they read the diff, they type again. 9out of 10 builders have never written a single loop that prompts the agent for

中文介绍 提出「循环工程」14 步路线图,从手动提示编码 agent 转向设计自动循环。指出 9/10 开发者从未写过循环,分享系统化升级路径。

Designing loops with Fable 5

@RLanceMartin · 30.4K 粉丝 · 84.7K 阅 · 660 赞 · 50 转

Mythos-class models like Claude Fable 5 have changed the way many of us work at Anthropic. I want to share two tips for getting the most out of this class of models. Self-correction loops There’s been

中文介绍 Anthropic 的 RLanceMartin 分享 Mythos 类模型(如 Claude Fable 5)的使用技巧:自校正循环和另一种设计方法。这些模型改变了内部工作方式。

How to Build an AI GTM Brain using Claude Code

@nifinet · 10.2K 粉丝 · 60.9K 阅 · 522 赞 · 54 转

When a team says they want AI for growth, they usually mean a faster send. An agent that fires the same template at a longer list, day and night. That is the cheap half of the job, and it stopped

中文介绍 用 Claude Code 构建 AI GTM Brain:批评团队只追求更快群发模板的浅层做法,主张设计能真正理解增长需求的 AI 系统,而非廉价自动化。

WTF Is a Loop? Peter Steinberger vs. Boris Cherny

@mvanhorn · 30.8K 粉丝 · 45.6K 阅 · 567 赞 · 47 转

The most repeated sentence in AI coding this week is six words long, and almost nobody saying it can define it. One tweet had the entire timeline in a chokehold this week, so I ran /last30days on the

中文介绍 本周 AI 编码圈最热话题「循环」,但多数人无法定义。作者对比 Peter Steinberger 和 Boris Cherny 的观点,梳理「循环」概念的内涵与争议。

Implications of Large-Scale Test-Time Compute

@polynoamial · 129.2K 粉丝 · 43.7K 阅 · 707 赞 · 80 转

tl;dr: As LLMs become more capable, benchmark performance is increasingly a function of test-time compute. In fact, we likely don't know what the capability ceiling is for modern LLMs because it's too

中文介绍 随着 LLM 能力提升,benchmark 性能越来越依赖测试时计算量。作者认为我们可能尚未触及现代 LLM 的能力天花板,因为计算预算限制了探索。

Loop Engineering.

@addyosmani · 395.5K 粉丝 · 42.7K 阅 · 577 赞 · 62 转

Loop engineering is replacing yourself as the person who prompts the agent. You design the system that does it instead. A loop here can be thought of a recursive goal where you define a purpose and

中文介绍 循环工程的核心:用设计好的自动循环系统替代手动提示 agent。循环视为递归目标,定义目的后由系统自行驱动 agent 完成。

Your Agent Harness Should Repair Itself

@akshay_pachaar · 276.5K 粉丝 · 38.0K 阅 · 504 赞 · 65 转

When an AI agent fails in production, your observability tool shows you exactly what it did and almost nothing about how to fix it. You get a clean trace of the run, every model call and tool that

中文介绍 当 AI agent 生产失败,现有可观测工具只展示轨迹,不提供修复方案。作者主张 agent harness 应该具备自我修复能力,自动诊断并恢复。

Fluid, natural voice translation with Gemini 3.5 Live Translate

@GoogleAIStudio · 176.3K 粉丝 · 32.2K 阅 · 517 赞 · 55 转

Twenty years ago, translation at Google began as one of our pioneering machine learning experiments to turn the science of language into the magic of human connection. That experiment has come a long

中文介绍 Google AI Studio 发布 Gemini 3.5 Live Translate,实现流畅自然语音翻译。回顾 Google 翻译 20 年历程,从机器学习实验到实时语音翻译的突破。

The Fourth Era of Compute

@unicity_labs · 126.3K 粉丝 · 7.0K 阅 · 821 赞 · 405 转

For thirty years the internet has been built for one kind of actor. The next one is not a person. For thirty years, compute has been built for humans. It is shaped around human attention, human

中文介绍 过去 30 年互联网和计算资源围绕人类设计。作者提出「第四计算时代」:下一个主角不是人,而是 AI agent,计算将围绕 agent 的注意力和需求重塑。

The AI layer Hyperliquid was missing.

@HYPERPEPS · 3.4K 粉丝 · 4.4K 阅 · 720 赞 · 79 转

You spend twenty minutes writing a brief. Then you open a second tab to turn it into code. A third for design. A fourth for the copy. Then you copy the output from tab four back into tab one, because

中文介绍 吐槽当前多工具切换的低效工作流:写 brief、转代码、设计、文案跨标签页来回搬运。Hyperliquid 补上缺失的 AI 层,整合这些步骤。

How an astrophysicist uses Codex to help simulate black holes

Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein’s theory of general relativity.

中文介绍 天体物理学家Chi-kwan Chan利用OpenAI Codex构建黑洞模拟,帮助科学家研究极端物理并检验爱因斯坦广义相对论。

Access OpenAI models and Codex through your Oracle cloud commitment

Access OpenAI models and Codex through Oracle Cloud, using existing commitments to build and deploy AI with enterprise security and governance.

中文介绍 用户可通过Oracle云现有承诺访问OpenAI模型和Codex,以企业级安全与治理构建和部署AI。

PRC-linked influence operations are targeting AI debates in the US

A new report from OpenAI details PRC-linked influence operations using AI to target U.S. tech debates, data center narratives, tariffs, and false claims about ChatGPT.

中文介绍 OpenAI新报告详述与中国相关的利用AI影响美国科技辩论、数据中心叙事、关税及关于ChatGPT虚假声明的行动。

From data to decisions: how LSEG is scaling trusted AI

See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees.

中文介绍 伦敦证券交易所集团(LSEG)利用OpenAI在全球业务中扩展可信AI,加速洞察、缩短发布周期,赋能4000名员工。

Fluid, natural voice translation with Gemini 3.5 Live Translate

Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.

中文介绍 Google推出Gemini 3.5 Live Translate,实现接近实时的自然语音翻译,应用于Google AI Studio、Google翻译和Google Meet。

How engineers at Nextdoor use Codex to build without limits

How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.

中文介绍 Nextdoor工程师使用Codex与GPT-5.5调查难以复现的问题、跨平台构建,并专注于产品成果。

Learning to lead in a hybrid human-AI enterprise

As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce. Unlike existing enterprise-level automation that relies on manual input, AI agents are capable of autonomously coordinatin

中文介绍 MIT Technology Review文章指出,未来两年AI代理采用率可能激增300%,领导团队需审慎考虑人机混合劳动力带来的影响。

市场总览

当前市场数据显示整体避险情绪浓厚。美股方面,SPY、QQQ近5日分别下跌3.82%和6.79%,RSI降至40.7和43.4,多数标的MACD出现死叉,技术面承压。加密货币市场尤为惨淡:加密恐慌贪婪指数仅12(极度恐慌),总市值2.19T(24h-0.74%),BTC主导率56.1%、ETH占8.9%;BTC(RSI23.7)、ETH(25.1)、SOL(25.0)均处于RSI超卖区域且空头排列。中概股同样弱势,阿里巴巴RSI31.7、拼多多32.4,股价深陷均线下方。商品外汇方面,黄金期货RSI23.7超卖,原油期货中性(RSI47.8),美元指数(DXY)RSI64.4多头排列并接近52周高点,10Y美债收益率亦在均线上方运行。整体看,风险资产承压,避险资产分化。

今日关注

DX-Y.NYB 美元指数 (DX-Y.NYB)
偏上行

DXY当前价格100.05,站上所有均线(SMA20=99.31, SMA50=98.9, SMA200=98.63),均线多头排列;RSI14=64.4处于中性偏强区域;MACD柱为正(0.3278-0.2337=0.0941),MACD在信号线上方,趋势bullish,且距离52周高点仅-0.59%,技术面呈现上行倾向。

BTC-USD 比特币 (BTC-USD)
偏下行

比特币价格61502.83,远低于SMA20(69397.14)、SMA50(75007.14)、SMA200(78124.62),形成空头排列;RSI14=23.7进入超卖区域;MACD持续负值(-4167.46)且在信号线下方,柱体为负,趋势bearish。尽管超卖可能触发技术性反弹,但当前主趋势仍偏向空方。

0700.HK 腾讯控股 (0700.HK)
中性

腾讯股价465.6,站上SMA20(450.55)但低于SMA50(473.88)和SMA200(570.23),空头排列;RSI14=52.4处于中性水平;MACD柱为正(-4.9566 - (-8.6158)=3.6592),显示MACD金叉信号,但趋势仍为bearish。多空信号交织,技术面呈中性态势。

全部资产

^VIX

VIX 恐慌指数

$22.22 +11.83%
5 日
+38.36%
距 52w 高
-37.1%
RSI(14)
63.5
趋势
中性
SMA 20 / 50 / 200
17.46 / 18.48 / 18.50
MACD / 信号
0.357 / -0.352
死叉(SMA50↓SMA200) (今天)MACD 金叉 (3 天前)

^TNX

10Y 美债收益率 (%)

$4.54 +0.31%
5 日
+1.14%
距 52w 高
-9.1%
RSI(14)
57.5
趋势
多头
SMA 20 / 50 / 200
4.52 / 4.41 / 4.21
MACD / 信号
0.030 / 0.033
多头排列

DX-Y.NYB

美元指数 DXY

$100.05 +0.14%
5 日
+0.52%
距 52w 高
-0.6%
RSI(14)
64.4
趋势
多头
SMA 20 / 50 / 200
99.31 / 98.90 / 98.63
MACD / 信号
0.328 / 0.234
接近 52 周高多头排列

SPY

S&P 500 ETF

$725.43 -1.58%
5 日
-3.82%
距 52w 高
-4.6%
RSI(14)
40.7
趋势
多头
SMA 20 / 50 / 200
745.62 / 719.32 / 685.34
MACD / 信号
4.850 / 9.350
多头排列

QQQ

Nasdaq 100 ETF

$693.69 -2.00%
5 日
-6.79%
距 52w 高
-7.3%
RSI(14)
43.4
趋势
多头
SMA 20 / 50 / 200
721.30 / 676.27 / 623.90
MACD / 信号
9.482 / 16.484
MACD 死叉 (4 天前)多头排列

AAPL

Apple

$291.58 +0.35%
5 日
-6.02%
距 52w 高
-8.1%
RSI(14)
43.8
趋势
多头
SMA 20 / 50 / 200
304.40 / 283.94 / 266.22
MACD / 信号
4.134 / 7.467
多头排列

MSFT

Microsoft

$397.36 -1.50%
5 日
-7.02%
距 52w 高
-28.5%
RSI(14)
39.4
趋势
空头
SMA 20 / 50 / 200
421.43 / 410.97 / 454.86
MACD / 信号
-0.275 / 3.897
MACD 死叉 (3 天前)空头排列

NVDA

Nvidia

$200.42 -3.73%
5 日
-6.67%
距 52w 高
-15.3%
RSI(14)
41.1
趋势
中性
SMA 20 / 50 / 200
217.20 / 205.71 / 189.02
MACD / 信号
-0.198 / 2.489

GOOGL

Alphabet

$356.38 -2.16%
5 日
-0.73%
距 52w 高
-12.8%
RSI(14)
39.6
趋势
中性
SMA 20 / 50 / 200
380.73 / 359.61 / 306.44
MACD / 信号
-1.535 / 3.232

TSLA

Tesla

$381.59 -3.80%
5 日
-9.94%
距 52w 高
-23.5%
RSI(14)
39.4
趋势
空头
SMA 20 / 50 / 200
419.89 / 397.25 / 415.16
MACD / 信号
-1.546 / 4.669
空头排列

META

Meta

$570.98 -2.33%
5 日
-8.35%
距 52w 高
-28.3%
RSI(14)
35.7
趋势
空头
SMA 20 / 50 / 200
609.19 / 622.15 / 659.95
MACD / 信号
-9.542 / -5.603
MACD 死叉 (3 天前)空头排列
加密恐慌贪婪
12
极度恐慌
加密总市值
$2.19 T
-0.74% / 24h
BTC 主导率
56.1%
ETH 8.9%
24h 成交量
$77.5 B
活跃币 17,337

BTC-USD

Bitcoin

$61,502.83 -0.23%
5 日
+0.95%
距 52w 高
-51.3%
RSI(14)
23.7
趋势
空头
SMA 20 / 50 / 200
69,397.14 / 75,007.14 / 78,124.62
MACD / 信号
-4,167.462 / -3,393.648
RSI 超卖空头排列

ETH-USD

Ethereum

$1,622.28 -0.94%
5 日
+2.62%
距 52w 高
-67.3%
RSI(14)
25.1
趋势
空头
SMA 20 / 50 / 200
1,887.74 / 2,120.68 / 2,432.90
MACD / 信号
-147.261 / -124.815
RSI 超卖空头排列

SOL-USD

Solana

$63.22 -2.68%
5 日
-0.42%
距 52w 高
-75.0%
RSI(14)
25.0
趋势
空头
SMA 20 / 50 / 200
75.87 / 82.89 / 101.06
MACD / 信号
-5.951 / -4.661
RSI 超卖空头排列

BABA

阿里巴巴 (BABA)

$115.38 -3.61%
5 日
-9.30%
距 52w 高
-40.1%
RSI(14)
31.7
趋势
空头
SMA 20 / 50 / 200
128.88 / 130.80 / 149.69
MACD / 信号
-3.930 / -2.558
空头排列

PDD

拼多多 (PDD)

$81.82 -0.13%
5 日
-4.19%
距 52w 高
-41.3%
RSI(14)
32.4
趋势
空头
SMA 20 / 50 / 200
90.13 / 96.19 / 111.84
MACD / 信号
-4.201 / -3.527
接近 52 周低空头排列

JD

京东 (JD)

$28.45 -0.97%
5 日
-3.26%
距 52w 高
-22.8%
RSI(14)
39.2
趋势
空头
SMA 20 / 50 / 200
30.37 / 30.14 / 30.34
MACD / 信号
-0.508 / -0.269
空头排列

0700.HK

腾讯控股 (0700.HK)

HK$465.60 +2.74%
5 日
-0.17%
距 52w 高
-31.8%
RSI(14)
52.4
趋势
空头
SMA 20 / 50 / 200
450.55 / 473.88 / 570.23
MACD / 信号
-4.957 / -8.616
空头排列

GC=F

黄金期货

$4,073.50 -4.38%
5 日
-8.19%
距 52w 高
-27.1%
RSI(14)
23.7
趋势
中性
SMA 20 / 50 / 200
4,473.67 / 4,609.58 / 4,411.62
MACD / 信号
-104.705 / -71.179
RSI 超卖

CL=F

WTI 原油期货

$92.91 +5.34%
5 日
-3.24%
距 52w 高
-22.2%
RSI(14)
47.8
趋势
中性
SMA 20 / 50 / 200
95.60 / 97.38 / 73.20
MACD / 信号
-1.886 / -1.454

USDCNY=X

美元 / 人民币

¥6.77 +0.13%
5 日
+0.17%
距 52w 高
-6.1%
RSI(14)
39.5
趋势
空头
SMA 20 / 50 / 200
6.78 / 6.81 / 6.97
MACD / 信号
-0.014 / -0.015
MACD 金叉 (今天)接近 52 周低空头排列
风险提示

本报告为基于公开行情数据的技术指标解读,仅供学习参考,不构成投资建议。过去走势不代表未来表现,技术信号存在失效风险。请读者独立判断并承担相应风险。仅供技术指标解读参考。

Canada Moves to Ban Social Media Use for Youth Under 16

The country’s previous attempt to get tech companies to shelter young users failed amid heavy criticism from civil liberty groups.

中文摘要 加拿大提出法案,禁止16岁以下青少年使用社交媒体。此前类似尝试因民权团体批评而失败。

Hot Cars and Stolen Crypto: A Canadian Teen Pocketed Millions, Prosecutors Say

A case illustrates both the low-hanging opportunities new financial technologies offer to scammers and the downside of speeding in a Rolls-Royce.

中文摘要 加拿大一名青少年通过加密货币诈骗获利数百万美元,检方称其行为凸显了新金融技术的欺诈风险。

Middle East crisis live: US military launches second day of airstrikes at ‘multiple targets’ in Iran

The strikes began at 5.15pm EST on Wednesday – after midnight on Thursday local time – ‘at the Commander in Chief’s direction’, Centcom says If the US genuinely wants a deal it will have to engage with Iranian demands on sanctions relief, says Danny Citrinowicz, the former head of the Iran branch of

中文摘要 美军连续第二天对伊朗“多个目标”发动空袭。分析称,若美国真心寻求协议,需回应伊朗解除制裁的要求。

Australia news live: minister warns about impact of datacentre boom; Seven farewells ‘smart, talented’ people in major staff cuts

Follow today’s news live Get our breaking news email, free app or daily news podcast Wong not ‘interested’ in One Nation’s fundraising Wong says she isn’t concerned about One Nation’s fundraising efforts, but more about their policies. Pauline Hanson’s party says it has raised more than $1.5m in the

中文摘要 澳大利亚部长警告数据中心繁荣带来的影响;Seven电视台进行大规模裁员,告别“聪明、有才华”的员工。

French star Patrick Bruel charged with rape and sexual assault

Singer and actor has denied all charges after more than 20 women came forward with allegations going back to the 1990s The French singer Patrick Bruel has been charged with rape and sexual assault in one of the biggest #MeToo cases in the French music industry. The 67-year-old, a major figure in Fre

中文摘要 法国歌手兼演员帕特里克·布鲁埃尔被控强奸和性侵,成为法国音乐界最大的#MeToo案件之一。他否认所有指控。

Trial begins for man accused of sparking Palisades Fire in California

Prosecutors say man deliberately started blaze that became one of the most destructive wildfires in Los Angeles history.

中文摘要 一名被指控故意引发帕利塞兹火灾的男子在加州受审。该火灾是洛杉矶历史上破坏性最大的野火之一。

Convicted gang rapist Mohammed Skaf hit with two dozen drug charges in Sydney

NSW police say two men and a woman will face court on Thursday over alleged involvement in large-scale drug supply scheme Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast Mohammed Skaf, a notorious gang rapist, has been arrested in Sy

中文摘要 澳大利亚悉尼,已知的团伙强奸犯穆罕默德·斯卡夫面临24项毒品指控。警方称其涉嫌参与大规模毒品供应计划。

U.S. Strikes Iran for Second Day, as War Heats Back Up

President Trump said that the Iranians were taking “too long to negotiate” a deal to end the conflict launched by the United States and Israel four months ago.

中文摘要 美国连续第二天打击伊朗。特朗普称伊朗“谈判太慢”,战争局势再次升温。

US strikes Iran for second day, as ceasefire appears close to collapse

Donald Trump had vowed to ‘hit them hard again’ after accusing negotiators in Tehran of ‘playing us for suckers’ Middle East crisis – live updates The US has launched new strikes against targets in Iran for the second consecutive day. Donald Trump had promised to “hit them hard again” as a two-month

中文摘要 美国连续第二天对伊朗发动打击,停火协议濒临崩溃。特朗普指责伊朗“把我们当傻子耍”。

Canada introduces bill to ban social media for children under 16

The bill also aims to make AI chatbots safer by establishing a digital regulator to set safety standards.

中文摘要 加拿大提出法案,禁止16岁以下儿童使用社交媒体,并设立数字监管机构规范AI聊天机器人安全。

Souleymane Diallo Dies at 80; Daring, Mocking Journalist in Guinea

He was harassed and briefly jailed for his work on Le Lynx, his satirical weekly newspaper, which investigated and caricatured a series of repressive leaders.

中文摘要 几内亚记者苏莱曼·迪亚洛去世,享年80岁。他以讽刺周刊《Le Lynx》调查和讽刺专制领导人而闻名,曾遭骚扰和短暂监禁。

Australia’s Social Media Ban Is Floundering. Can It Still Help Younger Kids?

Six months in, many teens are already back on platforms they were supposed to be blocked from. The ban’s benefits may fall to the next generation.

中文摘要 澳大利亚社交媒体禁令实施六个月后,许多青少年已重新使用被禁平台。禁令的益处可能更多惠及更年幼的儿童。

Fireworks illuminate Barcelona's Sagrada Família during Pope visit

Pope Leo XIV says Barcelona's iconic Sagrada Família is a masterpiece of "stones, colours and light" during his visit to Spain.

中文摘要 教皇利奥十四世访问西班牙巴塞罗那时,圣家族大教堂燃放烟花。教皇称其为“石头、色彩和光”的杰作。

US Launches Second Round of Strikes on Iran

The US military launched strikes against "multiple" targets in Iran for the second day in a row after President Donald Trump accused the country of dragging out talks on an interim peace deal. Bloomberg's Laura Davison explains the context. (Source: Bloomberg)

中文摘要 美国连续第二日对伊朗“多个”目标发动打击,此前特朗普指责伊朗拖延临时和平协议谈判。

Global Junk Debt Flashes Warning on Growing Risk of Stagflation

Fears of a stagflation shock from the Middle East conflict are increasingly souring investor sentiment toward the weakest global corporate borrowers, many of which binged on cheap debt during the era of ultra-low interest rates.

中文摘要 中东冲突引发的滞胀冲击担忧加剧,投资者对全球最弱企业借款人的情绪恶化,这些企业在超低利率时代大量借入廉价债务。

Westpac Mortgage Applications Fall as Tax Changes Sap Demand

Westpac Banking Corp. mortgage applications are heading for the worst quarter in a year as tax changes for property investors weaken demand for real estate.

中文摘要 西太平洋银行抵押贷款申请量预计将创一年来最差季度,因针对房地产投资者的税收变化削弱了住房需求。

How AI Is Changing Asia’s Workplaces

Financial heavyweights in Hong Kong including Baidu CFO Henry He and BlackRock's APAC Head Susan Chan share their insights on how AI is changing their workplaces. (Source: Bloomberg)

中文摘要 香港金融界高管包括百度CFO何俊杰和贝莱德亚太区主管陈蕙兰分享了人工智能如何改变工作场所的见解。

Highlights from Bloomberg Invest Hong Kong

Top voices in finance joined Bloomberg to discuss topics ranging from the impact of China's regulatory crackdown to the risk of a global tech selloff. Bloomberg's David Ingles and Yvonne Man break down the highlights. (Source: Bloomberg)

中文摘要 金融界顶尖人士在彭博投资香港会议上讨论了从中国监管整顿影响到全球科技股抛售风险等话题。

The furious dispute over what caused Air India flight 171 to crash

The final conclusions of the investigation have yet to be published, although more could become apparent in the coming days.

中文摘要 关于印度航空171航班坠机原因的激烈争议持续,调查报告最终结论尚未公布,但未来几天可能逐步明朗。

Mike Ashley's Frasers offers £1.73bn to buy all of Hugo Boss

The retail group already owns just over a quarter of the German fashion brand but wants to buy the rest of it.

中文摘要 迈克·阿什利的Frasers集团提出以17.3亿英镑收购德国时尚品牌Hugo Boss全部股份,该集团已持有略超四分之一的股权。

I'd have vetoed foreign sale of UK tech giant, says Business Secretary

Peter Kyle's comments come as the government sets out how it would back British technology companies.

中文摘要 英国商业大臣彼得·凯尔表示,他曾否决将一家英国科技巨头出售给外国买家的交易,政府正阐述如何支持本国科技企业。

Oracle to spend $70bn on data centre build-out in coming year

Shares in the database group drop as much as 8% in after-hours trading following flat revenue guidance

中文摘要 甲骨文计划未来一年斥资700亿美元建设数据中心,但因营收指引持平,盘后股价一度下跌8%。

Gold Falls for Third Day as US Launches Fresh Strikes on Iran

Gold fell for a third day after the US launched fresh strikes against Iran, threatening to extend the war that’s roiled global markets and stoked inflation fears.

中文摘要 美国对伊朗发动新一轮打击,金价连续第三日下跌,战争可能延长,扰动全球市场并加剧通胀担忧。

Wow~ 圣经!

Audio priscos illos viros probos atque sapientes, die Iovis — quartus is hebdomadis dies habetur — pecuniam suam in plebem erogasse, ne quis egestate premeretur. Pullum aureum alienis pueris donasse, quod et suus puer hoc cibo delectaretur; aquam nigram dulcem aliis senibus praebuisse, quod suus quo

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专业工种。昨天主刀了一台甲状腺转移二次大手术,开放双侧II-V区大颈清+腺叶切除、中央区清扫,历时7小时55分钟,中间没有吃喝拉撒,连续高强度工作,全程无尿点,清扫淋巴结目测上百枚,所有神经都镂空了(神经血管完全裸化),今早查体没有一点并发症(没有声音嘶哑,没有低钙,没有淋巴漏),很开心自己在主治的第二年就达到了这个水平,可能很多副高都做不到,应该也在这个年龄超越了我的老板这个年龄的水平了。【所谓外行看热闹,简单讲可以把这段话复制给AI判断下大概是什么水平,被AI敲打说警惕膨胀 】 当然这可能是我这个外科佬在AI替代人手精细操作之前最后的余辉和浪漫。让我想起了高中的一篇关于英国工业革命后手工鞋

还学什么口语?Google今天发布Gemini 3.5 Live Translate

我在AI Studio中实验了一下,我说中文,延迟约1秒内,出地道的任意目标语言; Google – 9 Jun 26 Fluid, natural voice translation with Gemini 3.5 Live Translate Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet. 录了一段试听: mega.nz 627 KB file on MEGA 52 个帖子 -

WhatsApp纯协议实现

本帖使用社区开源推广,符合推广要求。我申明并遵循社区要求的以下内容: 我的帖子已经打上 开源推广 标签: 是 我的开源项目完整开源,无未开源部分: 是 我的开源项目已链接认可 LINUX DO 社区: 是 我帖子内的项目介绍,AI生成、润色内容部分已截图发出: 是 以上选择我承诺是永久有效的,接受社区和佬友监督: 是 以下为项目介绍正文内容,AI生成、润色内容已使用截图方式发出 多账号 / sms注册 / OTP接收 / 消息接收 PR / issue wa-app 开源地址 27 个帖子 - 22 位参与者 阅读完整话题

突发!美国战争部居然透过openrouter 使用Claude Fable 5

突然出现的,并且很快上了消耗量第一 OpenRouter United States Department of War | OpenRouter Explore app analytics for United States Department of War. United States Department of War uses OpenRouter to access hundreds of AI models. 67 个帖子 - 56 位参与者 阅读完整话题

最新消息,HUB站活了!!!

感谢天感谢地,感谢帮助过我的佬哥佬弟 @4242 28 个帖子 - 23 位参与者 阅读完整话题

Fable5是个逼王模型

尝试用了一天fable5 xhigh,感觉是个逼王模型。 fable5的回答里经常自带一种特调的四十年经验老顾问的气场,上来就是“你关于xxx有几个认识误区” “现在的设计实现有xxx偏差”,以一种不知道哪儿来的自信以及斩钉截铁的语气,在高维度和战略上一通分析,又是表格又是分类归纳,逼格拉满,第一印象非常有诱惑性。面对难题,gpt5.5一般会说“现在离xxxx的目标差距还很大,我不能说(保证)xxxxx”,fable5给人的感觉就是“你的问题问在点子上了,我都正面回答,第一步xxxx,第二步xxxx,就解决了,最后再纠正一个你的担忧xxxxx”。 但是,我和gpt5.5一起挠头了两周的这些难题

【面试拷打】面试了十几家 Agent 岗位,整理了面试题~

上个月公司裁员,开启了前端面试之旅,一路坎坷,转而学习了一些 ai 课程,面试了十几家 agent 岗位(中间可能穿插偏向前端和全栈的岗位),面试过程都录音了,然后让 AI 整理了一下面试官提问的问题,分享给各位佬一起学习学习~ ML 公司 AI xx 系统主要是做什么的? LangChain / LangGraph 主要用了什么 AI 技术? 有没有了解过像 Manus 这种通用 Agent? 这些通用 Agent 一般分几层功能? 有没有构建过多智能体(Multi-Agent)架构? 什么是多 Agent? 为什么需要多 Agent? 什么场景下需要多 Agent 架构? 单个 Agent

这rpm。。。吓人

我这真成后备公益站了,每次羊毛没了用量就飙升。 (然后过几天就撑不住了。。。) (其实里面一大半都是收回的临时额度) 36 个帖子 - 36 位参与者 阅读完整话题